derisk-measurement-advisor — Product & AI Idea De-Risking Assessment Advisor

Skill Overview

derisk-measurement-advisor is an interactive risk assessment skill that examines your product or AI idea across 4 internal dimensions (desirability, usability, feasibility, and viability—DUFV) and 6 external dimensions (PESTEL: political, economic, social, technological, environmental, and legal). It classifies each identified risk as either Act Now or Watch, and ultimately produces a prioritized risk register with specific next steps.

In one sentence, it answers: Is this idea worth pursuing, and what should we test first?

Use Cases

1. Before putting an AI or product idea on the roadmap: Use 10 dimensions to conduct a structured risk review and answer the leadership question, “What could go wrong?” rather than, “No, everything is fine.”
2. Before committing team resources and budget: Identify the cheapest validation test for your product and customers—for example, running a landing-page test for a week instead of immediately starting development.
3. To fill blind spots: If you have only examined internal risks (whether the demand is real and whether it can be built technically), use it to scan external forces such as policy, economic, and legal risks that could derail the plan—and vice versa.

Core Features

1. 10-Dimension Risk Scan: Internally, it uses the DUFV framework (derived from Marty Cagan’s four product risks), divided into product-outcome dimensions (desirability + usability, answering “What do customers get?”) and business-outcome dimensions (feasibility + viability, answering “What does the company get?”). Externally, it examines each category of the PESTEL framework. Every dimension provides specific tests and metric options tailored to your product context rather than a generic risk checklist.
2. Act / Watch Risk Classification: Every risk is explicitly categorized as either Act Now (the risk already exists and is significant, requiring testing or remediation now) or Watch (the risk is real but not urgent, so trigger thresholds and review frequencies should be established). The skill enforces an approximate 40/60 action-to-watch ratio to prevent “everything is urgent” from eliminating prioritization.
3. Actionable Risk Register: The output consists of two tables: Act Now (including the risk, test, and recommended first step) and Watch (including signals, monitoring metrics, and review frequency). It also summarizes the total number of risks and the dimension with the largest gap. Every action item must specify a concrete first step, such as “Run a one-week landing-page test with clinical operations leaders and decide whether to proceed based on the registration rate,” rather than a vague “run a test.”

Frequently Asked Questions

What stages of an idea is this skill suited for?

It delivers the most value during the concept and prototype stages—it helps you decide what to test before committing team resources and budget. If the idea is already live and you are optimizing it rather than de-risking it, this skill is less suitable. It is also designed for a specific product idea: if you have not yet defined the idea, use the problem-framing-canvas skill to frame the problem first.

How is it different from the pestel-analysis skill?

derisk-measurement-advisor is a 15–20-minute guided rapid scan focused on triage (which risks to address now and which to monitor over time) and providing next-step actions. pestel-analysis is an in-depth analysis of external forces supported by data and citations. We recommend using this skill first to identify external risks worth investigating further, then using pestel-analysis for deeper analysis.

What is the process, and what does it produce?

It uses a guided question-and-answer format: first, it asks 4 background questions (the idea, its stage, the primary concern, and the target customer role), then scans each dimension. For every dimension, you select the 2 tests or risks most important to you and classify them individually. Finally, it consolidates the results into a risk register. You can also choose to paste in context or provide only a one-sentence description and let the skill make reasonable assumptions. The full process takes approximately 15–20 minutes, and the register can be exported directly as Markdown for sharing with your team.